Staff Scientist - bioinformatics, data analysis, RNAseq
bioinformatics, data analysis, RNAseq
The Center for Cancer Research (CCR) is working to solve the most pressing problems in the field through basic, translational and clinical cancer research to create the cancer medicines of tomorrow and is dedicated to preparing the next generation of cancer researchers. Read more about CCR, the benefits of working at CCR and hear from our staff on their CCR experiences.
Our scientists can’t do it alone. It takes a skilled, multi-disciplinary team of dedicated staff in research, patient care and administration to improve the lives of cancer patients and answer the most important questions in cancer biology and treatment. Be part of our mission to unlock the mysteries of cancer through research to create the medicines of tomorrow.
The CCR, National Cancer Institute (NCI), National Institutes of Health (NIH) is recruiting a Staff Scientist (Bioinformatics Analyst) in the Laboratory of Cellular and Molecular Biology (LCMB) and Laboratory of Immune Cell Biology (LICB).
The successful candidate will provide bioinformatic support for multiple projects as a Staff Scientist to LCMB and LICB investigators, including the following:
- The analysis and interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing, and proteomics platforms
- Contribute to a team effort in designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data
- Mining proprietary and publicly available biological data to generate novel hypotheses or insights
- Presenting analysis results, in a clear and concise manner, to scientific audience not familiar with bioinformatics
The Bioinformatics Analyst is expected to work effectively as a member of a team, coordinate activities among groups, interact with existing bioinformatic programs/cores in NIH and NCI/CCR, follow sound scientific practices and maintain effective documentation of activities and analyses. He/she is also expected to train fellows and students.
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
- Master or PhD degree in life sciences/bioinformatics/math/physics/computer-related field from an accredited college according to the Council for Higher Education Accreditation (CHEA). Foreign degrees must be evaluated for U.S. equivalency.
- In addition to, or as part of, educational requirements, a minimum of three (3) - five (5) years of related analytical or bioinformatics software development experience is required.
- Hands-on experience in processing sequencing, expression and other data-utilizing bioinformatics tools
- The ability to construct practical computational tools for data parsing, quality control, modelling and analysis for large-scale genetic or genomics datasets
- Commitment to solving biological problems and communicating these solutions
- Ability to multi-task across projects, work in a collaborative environment and contribute to team projects
- Experience in submitting data sets to public repositories
- Management of large genomic data sets including integration with data available from public sources
- Record of scientific achievements including journal publications and conference presentations
- Deep understanding of and hands-on experience in a) Genomic data processing and analysis of next generation sequencing (NGS) datasets, b) Mathematical and Statistical modeling, c) Systems Biology and multi-omic data integration d) development and implementation of complex workflows in an HPC environment.
- Ability to understand and analyze data from complex experimental designs
- Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g., R/Bioconductor, Matlab, Python, and a wide range of contemporary, open-source bioinformatics tools and database structures
- Proficiency in R and/or Python, knowledge of one of the other programming languages, e.g., Perl, Java and C/C++, is preferred.
- Experience in the following areas: RNAseq, single-cell RNASeq, ATAC-seq, Chip-seq, alternative splicing analysis, etc.
- Familiarity with public databases: NCBI GEO and SRA, Ensembl and UCSC genome, TCGA, cBioPortal, Broad FireHose
Additional information can be found on the LCMB website at https://ccr.cancer.gov/Laboratory-of-Cellular-and-Molecular-Biology and on the LICB website at https://ccr.cancer.gov/Laboratory-of-Immune-Cell-Biology.
Bethesda, located adjacent to Washington, D.C., is an urban core of Montgomery County, MD. Bethesda is one of the most affluent and highly educated communities in the United States. Living in Bethesda offers residents a suburban feel with a lot of restaurants, coffee shops, and parks. The public schools in Bethesda are highly rated.
Interested individuals should send a cover letter, curriculum vitae, brief summary of research interests and experience, and three letters of reference to:
Dr. Ying Zhang
Laboratory of Cellular and Molecular Biology
Center for Cancer Research
National Cancer Institute
37 Convent Drive
Bulidng 37/Room 2056B
Bethesda. MD 20892-4250
HHS, NIH, and NCI are Equal Opportunity Employers